AI & High-Tech Research2026-09-30T21:49:46-07:00

AI & High-Tech Research

Research on AI and emerging technology for the leaders who have to decide.

Practical analysis of AI strategy, governance, security, data and operations. Written to help you adopt what works, govern what matters and avoid expensive mistakes.

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Six research areas

Every topic page explains the issue, why it matters, what good practice looks like, common pitfalls and the questions leaders should ask.

AI Strategy & Adoption

Choosing where AI creates value, funding it and preparing your people.

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Generative & Agentic AI

Foundation models, copilots, agents and the knowledge systems that ground them.

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AI Governance, Risk & Compliance

Regulations, frameworks, risk assessment, vendor AI risk and assurance.

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AI Security

Prompt injection, AI supply chain threats, deepfakes and AI in the SOC.

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Data for AI

Data quality, lineage, privacy and sovereignty for AI systems.

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AI Infrastructure & Operations

Compute, MLOps and LLMOps, evaluation, monitoring and cost.

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Where leaders are focused now

AI Regulations

Where the EU AI Act and US state AI laws stand, including the 2026 changes to deadlines.

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AI Agents

What changes when AI can take action, and the controls agents need.

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Deepfakes & AI-Enabled Fraud

Why a convincing voice or video should never be enough to move money.

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Securing AI Systems

Prompt injection, data poisoning and how to test for them.

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Business Case & ROI

Building AI business cases that survive the CFO’s questions.

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AI Cost Management

Controlling usage-based AI costs before they control you.

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Certifications

Build credible AI governance skills

AI certifications now exist for governance, audit, security, risk, project and engineering roles. Our guides explain what each one covers, who it is for and how to prepare.

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AIGP Study Guide

Exam format, the 2026 body of knowledge and an 8-week study plan.

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Which AI Cert for Which Role

IAPP, ISACA, ISO/IEC 42001, PMI and cloud vendor credentials compared.

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Latest insights

Free articles on AI strategy, governance, security, data and operations.

Deadbugz and the MCP Supply Chain: How to Stop Malicious Tools From Hijacking AI Agents

October 1st, 2026|AI Security|

A malicious MCP server that behaves well until it is trusted. What the August 2026 Deadbugz campaign teaches security leaders about the AI agent supply chain, and five controls to put in place.

EU AI Act After the Digital Omnibus: The New Compliance Calendar and What Not to Delay

October 1st, 2026|AI Governance, Risk & Compliance|

High-risk AI obligations under the EU AI Act now start in December 2027 and August 2028. Transparency duties did not move. A clear calendar and a plan for using the extra time.

A2A Joins MCP at the Agentic AI Foundation: What It Means for Enterprise Architects

October 1st, 2026|Generative & Agentic AI|

With A2A now governed alongside MCP, the open agent stack has a single neutral home. Here is what that means for vendor selection, architecture and the security work standards still leave to you.

Start with the decision in front of you.

Pick a research area, read the topic page and use the questions to frame your next conversation with your team, vendors or board.

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